Academy Engineer - (Data Scientist- Training)

What Cognite is: Relentless to achieve

Cognite operates at the forefront of industrial digitalization, building AI , and data solutions that solve the world’s hardest, highest-impact problems. With unmatched industrial heritage and a comprehensive suite of AI capabilities, including low-code AI agents, Cognite accelerates the digital transformation to drive operational improvements.

We thrive in challenges. We challenge assumptions. We execute with speed and ownership. If you view obstacles as signals to step forward - not backwards - you’ll feel right at home here.

Our Moonshot is bold: Unlock $100B in customer value by 2035, and redefine how global industry works. Join us in this venture where AI and data meet ingenuity, and together, we will forge the path to a smarter, more connected industrial future.

How you’ll demonstrate Ownership

About Cognite Academy

Cognite Academy enables customers, partners, and internal teams to build the product knowledge and practical skills required to successfully adopt, implement, and scale Cognite solutions.

Our goal is not simply to create training content. We build learning experiences that help people become productive faster, implement Cognite solutions successfully, follow best practices, and ultimately accelerate customer value realization.

As an Academy Engineer, you will play a critical role in this mission by combining deep technical expertise, instructional thinking, content creation, and training delivery .

The Role

We are looking for an experienced and technically strong Academy Engineer who can translate complex Cognite technology and real-world implementation practices into engaging, practical, and scalable learning experiences.

You will work closely with Product, Engineering, Professional Services, Customer Success, and other subject matter experts to understand what customers and partners need to know, identify learning gaps, and turn that knowledge into high-quality training courses, hands-on exercises, labs, demonstrations, and instructor-led programs.

This is a highly collaborative role with significant ownership. You will not simply be handed a curriculum to deliver. You will help shape what we teach, how we teach it, and how learners demonstrate their ability to apply it.

The ideal candidate combines the mindset of a data engineer/data scientist, technical consultant, and educator. You should be comfortable working hands-on with technology, presenting to a room of technical professionals, creating learning content, and continuously learning new products and technologies.

Key Responsibilities

1. Technical Subject Matter Expertise

Develop deep expertise in Cognite Data Fusion® and the broader Cognite product portfolio relevant to Academy training.

Serve as a technical subject matter expert within the Academy team, helping ensure that training content reflects current product capabilities, implementation practices, and industry use cases.

Partner closely with Product Managers, Engineers, Professional Services, Solutions Architects, and other internal SMEs to understand product functionality, upcoming capabilities, and real-world implementation requirements.

Identify knowledge and skills gaps across customers, partners, and internal teams and translate these gaps into actionable learning requirements.

Contribute to the Academy curriculum roadmap by recommending new courses, learning paths, hands-on labs, and advanced technical training.

Continuously validate and refresh existing content as Cognite products, technologies, and best practices evolve.

2. Training Content & Learning Experience Development

Design and develop high-quality technical training for audiences ranging from beginners to experienced data engineers, data scientists, solution architects, and implementation professionals.

Create a variety of learning assets, including:

Self-paced e-learning courses

Instructor-led training

Technical demonstrations

Hands-on exercises and labs

Assessments and quizzes

Workshops and bootcamps

Technical documentation and job aids

Translate complex technical concepts into clear, structured, and learner-friendly content without compromising technical depth.

Apply instructional design and adult learning principles to create learning experiences that are practical, engaging, and focused on measurable learning outcomes.

Design hands-on exercises that allow learners to practice skills in realistic scenarios rather than simply consume information.

Contribute to standardized Academy content development processes, templates, quality standards, and design systems.

3. Digital & Creative Content Development

Use modern learning and content-authoring technologies to create engaging digital learning experiences.

Develop video-based learning, demonstrations, animations, interactive activities, and other digital learning assets using tools such as Synthesia, Articulate Rise, and other Academy technologies.

Experiment with AI-powered content development tools and emerging learning technologies to improve the speed, quality, and scalability of Academy content development.

Work with the Academy team to continuously improve the learner experience across the LMS and other learning platforms.

Ensure that digital learning content is technically accurate, visually engaging, accessible, and aligned with Academy standards.

4. Technical Training Delivery

Deliver engaging instructor-led training to customers, partners, and internal employees through virtual and in-person formats.

Facilitate training programs ranging from foundational courses such as CDF Fundamentals to advanced technical programs such as multi-day CDF Delivery Bootcamps.

Adapt delivery style and depth based on the audience's technical background, role, industry, and learning objectives.

Facilitate technical discussions, demonstrations, exercises, workshops, and troubleshooting sessions.

Create a learning environment where participants feel comfortable asking questions and applying concepts hands-on.

Collect and analyze learner feedback and use it to continuously improve course content and delivery.

Travel internationally or within the region for customer, partner, and internal training events, expected to be approximately up to 25% of the time.

5. Customer & Partner Enablement

Develop training that directly supports successful Cognite implementations and adoption.

Understand the different technical personas within the Cognite ecosystem, including data engineers, data scientists, solution architects, developers, and other implementation professionals.

Ensure that training prepares learners not only to understand Cognite products, but to apply them successfully in real-world industrial environments.

Partner with Professional Services and Customer Success teams to identify recurring customer and partner capability gaps that can be addressed through scalable Academy programs.

Contribute to certification and skills-based learning programs where appropriate.

6. Collaboration & Continuous Improvement

Work collaboratively across Academy, Product, Engineering, Professional Services, Customer Success, and other functions to ensure alignment between product development and learning content.

Actively participate in Academy content planning, reviews, and quality assurance activities.

Bring feedback from customers and training participants back into the product and Academy organizations.

Continuously evaluate what is working and identify opportunities to improve the effectiveness, scalability, and efficiency of Academy learning programs.

Stay current with emerging technologies in AI, data engineering, DataOps, and industrial data platforms and assess their relevance to Cognite's learning portfolio.

The Impact you bring to Cognite

Technical Experience

Bachelor's, Master's, or PhD in Computer Science, Data Science, Eng